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- W2351715049 abstract "This paper presents a fuzzy logic deduction method for quantitative prediction of regional ore resources based on the concept of “cell cluster” and supported by GIS. With cell clusters (groups of cells spatially associated) we can ensure more sufficient use of the spatial structural information of geo variables. Cells are taken as GIS polygon elements so they as well as the clusters can be manipulated through the spatial analytical functions of GIS.Two levels of fuzzy reasoning rules are built. The first level rules determine in what extent a geo variable makes a cell “good”(i.e., qualified for a specific member of the model cluster); The second level rules determine in what extent a cell makes a cluster “good”(i.e.,favorable for ore prospec ting). Through the two leveled fuzzy deduction the favorability of any unknown cells can be produced and then the favorable prospecting areas can be delimited. A case study of gold mineral resources prediction in Kangurdage region, Xinjiang, is present." @default.
- W2351715049 created "2016-06-24" @default.
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- W2351715049 date "2001-01-01" @default.
- W2351715049 modified "2023-09-23" @default.
- W2351715049 title "GIS BASED CELL CLUSTER FUZZY LOGIC DEDUCTION AND ITS APPLICATION IN REGIONAL MINERAL RESOURCES PREDICTION" @default.
- W2351715049 hasPublicationYear "2001" @default.
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